IPG
Data & AI · 78 open jobs

Business Intelligence Platform Manager

New York, New York, United States of AmericaPosted Oct 20
Manager

Agency

Omnicom Health

Job Function

Projects and Performance Improvement

Job Subfunction

IT Project and Program Management

Job Description

Role purpose

The Business Intelligence Platform Manager is the operational owner of the organization’s enterprise BI platform(s). The role executes the governance and operating model established by Business Process Optimization and is responsible for day-to-day platform administration, solution development, data troubleshooting, security, lifecycle management, user enablement, and continuous improvement.

This is a hands-on manager-level position for a technically strong BI professional who can translate business requirements into scalable workflows, datasets, dashboards, and reports while coordinating with Finance, Enterprise Data, IT, and business stakeholders.

Role distinction

The Business Process Optimization Director owns enterprise BI strategy, governance direction, prioritization, and executive alignment. The BI Platform Manager turns that strategy into reliable day-to-day execution and measurable operational outcomes.

KEY RESPONSIBILITIES

What this role owns

Platform Administration & Reliability

  • Administer enterprise BI platform settings, environments, licenses, users, groups, roles, permissions, and access controls.
  • Monitor platform health, dataset refreshes, connectors, APIs, dataflows, capacity, storage, and performance.
  • Coordinate incident response and restore service when platform, integration, or refresh issues occur.

BI Solution Architecture & Development

  • Architect scalable BI workflows, dataflows, semantic structures, dashboards, reports, alerts, and reusable components.
  • Translate operational requirements into intuitive solutions that support decision-making and reduce manual work.
  • Develop and enhance dashboards and reports using sound visualization, usability, performance, and accessibility practices.

Data Quality & Troubleshooting

  • Investigate discrepancies, failed refreshes, incomplete data, connector errors, transformation issues, and unexpected report results.
  • Trace issues across source systems, ODH/Synapse, integrations, platform transformations, and front-end calculations.
  • Partner with Enterprise Data, IT, Finance, and source-system owners to resolve root causes and validate corrected outputs.

Governance & Lifecycle Management

  • Execute standards for naming, ownership, certification, documentation, security, development, promotion, publishing, archival, and retirement.
  • Maintain asset inventories, lineage, business and technical ownership, usage information, and certification status.
  • Identify duplicate, inactive, obsolete, ownerless, or high-risk assets and coordinate remediation or retirement.

Business Partnership & Enablement

  • Gather and clarify requirements, recommend appropriate solutions, and communicate trade-offs to business stakeholders.
  • Provide office hours, training, job aids, templates, and guidance for viewers, creators, and power users.
  • Promote responsible self-service while ensuring enterprise standards and ownership requirements are followed.

Release Management & Security

  • Coordinate testing, validation, promotion, and communication for platform releases and solution deployments.
  • Apply role-based access, privacy, segregation-of-duty, and external-sharing controls in partnership with IT and business owners.
  • Maintain clear DEV / TEST / PROD or equivalent promotion processes and rollback procedures.

Continuous Improvement & Operational Reporting

  • Identify opportunities to improve performance, automate recurring work, simplify workflows, reduce technical debt, and strengthen user experience.
  • Maintain the BI Operational Scorecard, including reliability, governance, adoption, data alignment, and business-value measures.
  • Use platform telemetry, stakeholder feedback, incident trends, and usage patterns to recommend and execute improvements.

KEY PARTNERSHIPS

How the role collaborates

  • Partner  | Primary collaboration
  • Business Process Optimization | Execute strategy, governance standards, roadmap priorities, operational scorecard, and continuous improvement initiatives
  • Finance | Validate financial definitions and official outputs; troubleshoot financial data issues; maintain separation between operational insight and governed financial reporting
  • Enterprise Data | Align solutions to ODH/Synapse, enterprise data models, lineage, quality standards, and reusable certified data
  • IT / Security | Coordinate infrastructure, integrations, access controls, platform resilience, upgrades, and incident management
  • Business Stakeholders | Gather requirements, validate outputs, establish ownership, train users, and measure adoption and value

QUALIFICATIONS

Experience and capabilities

Required

  • 5+ years of progressive experience in Business Intelligence, analytics engineering, BI platform administration, data visualization, or a related field.
  • Hands-on experience administering and developing within a modern BI platform; DOMO experience is strongly preferred, with comparable experience in Power BI, Tableau, Looker, Sigma, or similar platforms also relevant.
  • Strong SQL skills and practical knowledge of data modeling, ETL/ELT, APIs, connectors, dataflows, semantic layers, and enterprise data warehouses.
  • Demonstrated ability to architect workflows and build effective dashboards, reports, alerts, and operational analytics solutions.
  • Experience troubleshooting data-quality, refresh, integration, calculation, security, and performance issues across the end-to-end data flow.
  • Working knowledge of BI governance, metadata, lineage, certification, access management, release management, and asset lifecycle practices.
  • Strong stakeholder communication, requirements gathering, prioritization, documentation, and problem-solving skills.
  • Ability to work independently, manage multiple priorities, and translate technical issues into clear business language.

Preferred

  • Experience with DOMO Workbench, Magic ETL, SQL DataFlows, Beast Modes, cards, dashboards, apps, APIs, and platform administration.
  • Experience working with ODH/Synapse or another cloud data warehouse and with enterprise systems such as ERP, finance, HR, project, or CRM platforms.
  • Experience supporting financial and operational reporting in a complex, multi-agency, healthcare, advertising, or professional-services environment.
  • Experience leading training, governance reviews, platform rationalization, or continuous-improvement initiatives.
  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Business, Finance, Operations, or a related discipline; equivalent experience considered.

SUCCESS MEASURES

How performance will be evaluated

Outcome | Illustrative measures

  • Reliable platform operations | Refresh success, uptime, incident volume, mean time to resolution, performance, capacity, and license efficiency
  • Governance execution | Owned assets, certified datasets, standards compliance, review completion, access accuracy, and lifecycle actions
  • Quality and trust | Reduction in recurring data issues, validated outputs, documented lineage, and timely root-cause resolution
  • Adoption and enablement | Active use, stakeholder satisfaction, creator readiness, training completion, and responsible self-service
  • Continuous improvement | Reduced manual work, duplicate assets, technical debt, and platform-specific transformations; increased automation and reuse
  • Business impact | Faster access to insight, improved decision support, and measurable operational efficiencies

ROLE BOUNDARIES

What remains outside this position

  • Enterprise BI strategy, governance direction, executive sponsorship, and final prioritization remain with the Business Process Optimization Director.
  • Financial policy, accounting definitions, official financial reporting, planning, and forecasting remain with Finance.
  • E
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